Staff Machine Learning Engineer, App Ads Modeling

Details

Reddit is looking for a Staff-level Machine Learning Engineer to join the Ads Ranking Organization and the App Ads Modeling team. The role focuses on enhancing Reddit’s machine-learning-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. Candidates with modeling experience in recommendation systems, search relevance, or other performance-driven domains are encouraged to apply.

Responsibilities

• Design and train advanced machine learning models, including deep neural networks and transformers, to power Reddit Ads Ranking.
• Develop and optimize features such as embeddings, contextual signals, and cross-session behavior.
• Collaborate with product, infrastructure, and data teams on end-to-end model deployment and performance analysis.
• Mentor other machine learning engineers and contribute to modeling best practices across the organization.
• Shape the long-term modeling vision across domains such as conversion, app ads, shopping, and brand advertising.

Requirements

• 7+ years of industry experience, including several years in applied machine learning roles.
• Strong experience with deep learning architectures and machine learning frameworks such as TensorFlow and PyTorch.
• Strong background in recommendation systems, ads ranking, or similar domains.
• Experience working with large-scale datasets and complex feature pipelines.
• Strong problem-solving and experimentation skills.
• Experience with state-of-the-art models for advertising or recommender systems, such as transformers.
• Knowledge of recommender systems or the advertising funnel.
• Track record of delivering high-impact models in production settings.
• Comfort collaborating with infrastructure and data teams on feature-serving and training pipelines.

Preferred Qualifications

• Experience with conversion modeling, app ads, or performance and brand advertising.
• Experience in advertising marketplaces at peer companies.
• Publications, patents, or industry contributions in applied machine learning or ranking systems.

Benefits

• 100% remote opportunity, with office locations available for hybrid or on-site work preferences in New York City, San Francisco, Los Angeles, and Chicago.
• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs supporting workspace needs, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Equity in the form of restricted stock units; some positions may also be eligible for commission.

Compensation

The base salary range for this position is $230,000–$322,000 USD. Final offer amounts depend on factors including skills, depth of work experience, and relevant licenses or credentials.